Survey Reveals Healthcare Professionals Turning to Personal AI Tools Amid Organizational Gaps
Doctors turn to secret AI tools as hospitals fail to keep up with technology, survey finds

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A global survey highlights the transformative potential of AI in healthcare, with 46% of clinicians saving an average of 132 hours annually. However, a lack of training and organizational support leads 64% of professionals to use personal AI tools. The need for structured training and human oversight in AI applications is emphasized.
- 01The Philips Future Health Index surveyed over 2,000 healthcare professionals and 20,000 patients in 10 countries.
- 0246% of clinicians reported saving an average of 132 hours annually due to AI, with 50% seeing increased patient capacity.
- 0370% of healthcare professionals noted limited or unavailable AI training within their organizations.
- 0464% of clinicians use personal AI tools when workplace options are insufficient.
- 0590% of professionals stress the importance of maintaining human oversight in AI applications.
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A recent global survey conducted by the Philips Future Health Index reveals that while artificial intelligence (AI) is revolutionizing healthcare by saving clinicians time and enhancing patient care, significant barriers remain in its adoption. The survey, which included responses from over 2,000 healthcare professionals and 20,000 patients across 10 countries, found that AI can effectively assist in tasks such as transcribing clinical notes, scheduling appointments, and analyzing medical images. Notably, 46% of clinicians reported annual time savings averaging 132 hours, and 50% noted an increased capacity to see patients. Despite these advantages, 64% of clinicians rely on personal AI tools due to inadequate workplace support, and 70% indicated that training for AI tools is limited. Shez Partovi, Chief Innovation Officer at Philips, emphasized the need for organizations to accelerate their provision of tools and training. The report advocates for structured, role-specific training to enhance clinicians' digital skills and clinical judgment. Furthermore, 90% of healthcare professionals highlighted the necessity of human involvement in AI processes, with 86% insisting that all AI outputs require human oversight to ensure safety and effectiveness in patient care.
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The findings highlight a critical need for healthcare organizations to improve their training and support for AI tools, which could enhance patient care and operational efficiency.
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